jev-ultrafast

jev-ultrafast is Browser Use's speed demo for a new kind of model. Normal browser agents ask a chat model to write out its next step. This one hands Jev, a decision model from TypeSafe AI that returns typed choices instead of text, a numbered list of page elements and gets back which one to click. A small text model only writes the words that need typing. The README's showcase is a Zurich to London search on Google Flights in about seven seconds. MIT licensed.

It is source code, not a product: uv sync, a local Chrome with remote debugging on, and two paid keys. One is a TypeSafe key for Jev, which bills $0.042 per million input tokens with free output and is waitlisted right now. The other is an OpenRouter key for the text model. No releases, version 0.1.0, and the README calls it an MVP.

Solo builders curious about decision models: worth an evening once you clear the waitlist. Teams that need browser automation today should use the same company's main browser-use library, or Skyvern.

The catch: the benchmark is three repeats of one task on one browser profile, and the README says so. Shadow DOM, iframes, canvas, uploads, and pop-up tabs are out of scope. And the whole thing depends on a closed API you cannot self-host.